Extracting Content and Context from Video. (Presentation at CVPR 2012 workshop on Large Scale Video Search and Mining 2012, June 21, 2012)Irfan EssaGEORGIA Tech Abstract In this talk, I will describe various efforts aimed at extracting context and content from video. I will highlight some of our recent work in extracting spatio-temporal features and the […]
Paper / Citation Abstract We present a novel algorithm for automatically applying constrainable, L1-optimal camera paths to generate stabilized videos by removing undesired motions. Our goal is to compute camera paths that are composed of constant, linear and parabolic segments mimicking the camera motions employed by professional cinematographers. To this end, our algorithm is based […]
Kihwan Kim, Matthias Grundmann, Ariel Shamir, Iain Matthews, Jessica Hodgins, Irfan Essa (2010) “Motion Field to Predict Play Evolution in Dynamic Sport Scenes” in Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. Abstract Videos of multi-player team sports provide a challenging domain for dynamic scene analysis. Player actions […]
Discontinuous Seam-Carving for Video Retargeting Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan Essa (2010) “Discontinuous Seam-Carving for Video Retargeting” in Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. [bibtex file=IrfanEssaWS.bib format=ieeeyr template=irfan-bibtex key=2010-Grundmann-DSVR] Abstract We introduce a new algorithm for video retargeting that uses discontinuous seam-carving in both […]
Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan Essa (2010) “Efficient Hierarchical Graph-Based Video Segmentation” in Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. Abstract We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by over-segmenting a […]
Raffay Hamid, Ram Krishan Kumar, Matthias Grundmann, Kihwan Kim, Irfan Essa, Jessica Hodgins (2010), “Player Localization Using Multiple Static Cameras for Sports Visualization” In Proceedings of IEEE Computer Vision and Pattern Recognition Conference (CVPR), San Francisco, CA, USA, June 2010 [PDF][Website][DOI][Video (Youtube)]. Abstract We present a novel approach for robust localization of multiple people observed using multiple […]
We have the following 4 papers that have been accepted for publications in IEEE CVPR 2010. More details forthcoming, with links to more details. Matthias Grundmann, Vivek Kwatra, Mei Han, and Irfan Essa (2010) “Discontinuous Seam-Carving for Video Retargeting” (a GA Tech, Google Collaboration) Matthias Grundmann, Vivek Kwatra, Mei Han, and Irfan Essa (2010) “Efficient Hierarchical Graph-Based Video […]
CVPR 2009 site is http://www.cvpr2009.org. (see ORALs and POSTERs) Decisions were announced after the AC Meeting. See the stats Registration is OPEN (http://www.cvpr2009.org/registration) Hotel Registration to OPEN soon (http://www.cvpr2009.org/travel-and-hotel)
Yin, Pei Criminisi, Antonio Winn, John Essa, Irfan (2007), Tree-based Classifiers for Bilayer Video Segmentation In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR ’07, 17-22 June 2007, page(s): 1 – 8, Location: Minneapolis, MN, USA, ISBN: 1-4244-1180-7, Digital Object Identifier: 10.1109/CVPR.2007.383008 Abstract This paper presents an algorithm for the automatic segmentation of monocular videos […]